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Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
Joel Shor
Katrin Tomanek
Jordan R. Green
Interspeech, Interspeech 2021 (2021) (to appear)
The Benefit of Temporally-Strong Labels in Audio Event Classification
Caroline Liu
Proceedings of ICASSP 2021 (2021)
Self-Supervised Learning from Automatically Separated Sound Scenes
Marco Tagliasacchi
Xavier Serra
WASPAA 2021 (2021)
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Proceedings of ICASSP 2020 (2020) (to appear)
Audio Tagging with Noisy Labels and Minimal Supervision
Frederic Font
Xavier Serra
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019) (to appear)
Learning Sound Event Classifiers From Web Audio With Noisy Labels
Frederic Font
Xavier Favory
Xavier Serra
Proceedings of ICASSP 2019 (to appear)
General-purpose tagging of Freesound audio with AudioSet labels: Task Description, Dataset and Baseline
Eduardo Fonseca
Frederic Font
Xavier Favory
Jordi Pons
Xavier Serra
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018) (to appear)
Unsupervised Learning of Semantic Audio Representations
Ratheet Pandya
Jiayang Liu
Proceedings of ICASSP 2018 (to appear)
Towards Learning Semantic Audio Representations from Unlabeled Data
Ratheet Pandya
Jiayang Liu
NIPS Workshop on Machine Learning for Audio Signal Processing (ML4Audio) (2017) (to appear)
Audio Set: An ontology and human-labeled dataset for audio events
Jort F. Gemmeke
Dylan Freedman
Wade Lawrence
Proc. IEEE ICASSP 2017, New Orleans, LA (to appear)
